Abstract
In this study, we develop a traffic model to simulate network traffic evolution under the impact of controlled autonomous vehicles acting as moving bottlenecks. We first extend the Newell-Daganzo method to track the trajectories of moving bottlenecks and calculate the cumulative number of vehicles passing moving bottlenecks. By integrating the solutions to the cumulative number of vehicles passing moving bottlenecks and link nodes as boundary conditions in the link-transmission models, we can incorporate the impact of moving bottlenecks into the flow of traffic at a network scale. The numerical simulation results demonstrate the effectiveness of the developed model to track trajectories of the moving bottlenecks and simulate their impact on freeway traffic.
| Original language | English (US) |
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| Title of host publication | 2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728141497 |
| DOIs | |
| State | Published - Sep 20 2020 |
| Event | 23rd IEEE International Conference on Intelligent Transportation Systems, ITSC 2020 - Rhodes, Greece Duration: Sep 20 2020 → Sep 23 2020 |
Publication series
| Name | 2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020 |
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Conference
| Conference | 23rd IEEE International Conference on Intelligent Transportation Systems, ITSC 2020 |
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| Country/Territory | Greece |
| City | Rhodes |
| Period | 9/20/20 → 9/23/20 |
Bibliographical note
Funding Information:The research of Z. Li and X. Qu was supported in part by the National Key R&D Program in China (Grant No. 2018YFB1600600) and the National Natural Science Foundation of China (Grant No.51878161).
Publisher Copyright:
© 2020 IEEE.
